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Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution. Bruno Kochan, Tom Bellemans, Davy Janssens, Geert Wets Transportation Research Institute (IMOB) Hasselt University Belgium www.imob.uhasselt.be bruno.kochan@uhasselt.be.

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collecting activity travel diary data state of the art and a hand held computer assisted solution

Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution

Bruno Kochan, Tom Bellemans, Davy Janssens, Geert Wets

Transportation Research Institute (IMOB)

Hasselt University

Belgium

www.imob.uhasselt.bebruno.kochan@uhasselt.be

Universiteit Hasselt, Campus Diepenbeek, Wetenschapspark 5 bus 6, BE-3590 Diepenbeek, Belgium

slide2

Outline

  • Introduction to Activity Based (AB) data
  • Data collection
  • Functional description of a new data collection tool
  • Conclusion
slide3

Introduction

  • 1950: - Rapid increase in need for transportation - Several Transportation models were used to predict travel demand
  • Four-step models: Travel = result of 4 subsequent decisions, modelled separately
  • Disadvantage of four-step models: No relationship travel <-> non-travel aspects
  • Solution: Activity-Based (AB) transportation models
slide4

Introduction

  • AB models predict interdependencies between several facets of activities
  • Facets:

- Which type of activity ?

- When ?

- For how long ?

- Conducted where ?

- Which transport mode ?

- With whom ?

slide5

Data Collection

Activity Based transportation models:

  • Data is collected by means of Activity-Travel diaries
  • Diary consists of a sequence of activities and journeys
  • Diary focuses on all the activities and journeys
  • Diaries:

Heavy demands on data collection system

- Take time to fill out

- A lot of activity facets

slide6

Data Collection

Paper-and-pencil

+

Pro:

  • Filled out any time and place

Con:

- Prone toerrors

- Consistency

- Complex

- Tedious

slide7

Data Collection

Computer aided self interview of activity-travel scheduling behaviour:

- CHASE (Doherty, 1997)

- VIRGIL (UHasselt, 2004)

Pro:

- User guidance

- Data quality

Con:

- Filled out at specific time

- Filled out at specific place

- Portability

slide8

Data Quality

Data quality:

- Activity: e.g. Begin time before end time

- Journey: e.g. Duration journey must equal sum trip durations

- Activity and Journey: No time gaps

- Activity and Journey: “Location continuity”

slide9

Data Quality

Activity 1

Activity 2

Location A

Location B

Journey 1

Start Location A

Start Location B

slide10

Data Quality

Activity 1

Activity 2

Location A

Location B

Journey 1

Start Location A

Start Location B

slide11

Data Quality

Activity 1

Activity 2

Location A

Location B

!

Journey 1

Start Location A

End Location C

slide12

Data Quality

Activity 1

Activity 2

Location A

Location B

Journey 1

Start Location A

End Location B

slide13

Data Collection

Computer-aided self interview of activity-travel scheduling behaviour:

- CHASE (Doherty, 1997)

- VIRGIL (UHasselt, 2004)

Pro:

- User guidance

- Data quality

Con:

- Filled out at specific time

- Filled out at specific place

- Portability

slide14

Data Collection

Internet-based self interview of activity-travel scheduling behaviour:

- iCHASE (Doherty, 1999)

- REACT (McNally, 1999- 2001)

Pro:

- Filled out at different places (e.g. work, home)

- Filled out at different times

- Portability

slide15

Data Collection

Personal Digital Assistant (PDA)

- EX-ACT (Rindsfüser, 2003)

Pro:

-Filled out at any place (e.g. work, home, bus)

-Filled out at any time

Con:

- Battery autonomy

slide16

Data Collection

GPS-enabled Personal Digital Assistant (PDA)

- Doherty, 2001

- IMOB, 2005

Pro:

- Respondent may forget to report journey

- Enables capturing route information

- Data can be used for checking consistency

Con:

- GPS not always reliable

- GPS accuracy (±30m)

slide17

Disadvantages GPS

  • GPS not always reliable:

- “Multipath”

slide18

Disadvantages GPS

  • GPS accuracy:

- Sattelites geometry

slide19

Disadvantages GPS

  • GPS accuracy:

- Time spent on measurement

- Start location

- End location

slide21

GUI Household Survey

GUI AB Survey

GPSLogger

GIS

Module

Data Integrity Checks

Trip Identification

Communication Module

Activity Diary& Household Data

GPSData

Functional description of a new data collection tool

slide22

GUI Household Survey

GUI AB Survey

GPSLogger

GIS

Module

Data Integrity Checks

Trip Identification

Communication Module

Activity Diary& Household Data

GPSData

Functional description of a new data collection tool

slide27

Functional description of a new data collection tool

Activity attributes:

- Which type of activity ?

- When ?

- For how long ?

- Conducted where ?

- With whom ?

slide29

Conclusion

  • Different approaches and technology for AB data collection
  • Data collection tool for a GPS enabled PDA